Data Tools
Explore web services, interactive tutorials, and other tools to access and work with NSIDC data
There are many ways to access and work with NSIDC data to accommodate a wide diversity of users. Use the filter menu to explore and narrow down your options. Note that the list defaults to show our Featured tools first, however, you have more options in the Sort by menu.
- To see which tools are available for which data sets, you must go to a specific data set landing page. On the landing page under Data Access and Tools, you will see data-set specific tools to access and work with the data.
- Once you are ready to find a data set, explore our data catalog.
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Discover, access, and visualize data from NASA's ICESat and ICESat-2 missions.
Supported software languages:
Python
Type: Web Application
Customization Capabilities:
spatial subsetting
temporal subsetting
Output Formats:
ASCII
CSV
HDF5
Visualize
Search & Discover
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GIS
Browse and display global satellite imagery layers from NASA GIBS. Download raw data, share screenshots, and create animations from the imagery.
Type: Web Application
Customization Capabilities:
data reformatting
Output Formats:
GEOTIFF
GIF
JPEG
KML
PNG
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GIS
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Visualize and download data from the GLIMS Glacier Database using a map-based interface.
Type: Web Application
Output Formats:
KML
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GIS
Search and download data from the GLIMS Glacier Database, using custom parameters in a text-search form.
Type: Web Application
Output Formats:
KML
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Analyze
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GIS
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Extract point and area samples from geospatial data via spatial, temporal, and/or parameter subsetting. Preview and interact with samples before downloading. The Application for Extracting and Exploring Analysis Ready Samples tool is only available for select NSIDC data products.
Type: Web Application
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
temporal subsetting
variable subsetting
Output Formats:
CSV
GEOTIFF
HDF-EOS2
HDF5
JSON
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Customize
Search the entire World Glacier Inventory by glacier name, number, or parameters (latitude/longitude, altitude, size, length, features). Specify output parameters and format (text or .csv file).
Customization Capabilities:
variable subsetting
Output Formats:
CSV
Visualize
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View and download the most recent daily observations of sea ice extent and ice edge boundary for the entire Arctic and/or a specific region. Compare time series of sea ice extent from the most recent four weeks to the same four-week period in the previous four years.
Output Formats:
CSV
GEOTIFF
NETCDF-4
PNG
Visualize
GIS
Customize
Access georegistered images for data layers from select NSIDC data products. Use OGC protocols (WMS, WFS, and WCS) through HTTP URLs or OGC-compatible clients (ArcMap, QGIS, Google Earth) to access the data.
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
temporal subsetting
variable subsetting
Output Formats:
PNG
GEOTIFF
GIF
HDF-EOS
JPEG
KML
NETCDF-4
PNG
Search & Discover
Get Data
Customize
Search the Global Lake and River Ice Phenology Database for freeze/thaw dates and the physical characteristics for several hundred lakes and rivers. You can search using country, latitude/longitude, name, freeze status, and temporal range. Select the desired output format: browser, CSV, or ASCII.
Customization Capabilities:
variable subsetting
Output Formats:
ASCII
CSV
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Customize
Use this toolbox to read, process, analyze, and output ICESat-2 ATL03 and ATL08 data in these formats: figures, .las, .csv, .kml.
Supported software languages:
Python
Type: Downloadable Software
Customization Capabilities:
data reformatting
spatial subsetting
temporal subsetting
variable subsetting
Output Formats:
ASCII
CSV
HDF5
KML
PNG
Analyze
Visualize
Customize
Use this GUI to interpret, label, and visualize ICESat-2 ATL03 data.
Type: Downloadable Software
Customization Capabilities:
spatial subsetting
temporal subsetting
Output Formats:
ASCII
CSV
JPEG
PNG
Analyze
Visualize
Search & Discover
GIS
Customize
A Python-based Jupyter Notebook demonstrating how to access and visualize coincident snow data from the NSIDC DAAC across in-situ, airborne, and satellite platforms from NASA's SnowEx, ASO, and MODIS data sets, respectively.
Supported software languages:
Python
Customization Capabilities:
data reformatting
reprojection
spatial subsetting
Output Formats:
CSV
GEOTIFF
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